Long-term human impact on alluvial peatland dynamics in temperate climates

Author(s):  
Ward Swinnen ◽  
Nils Broothaerts ◽  
Gert Verstraeten

<p>Peatlands across the globe are experiencing external pressures such as land use change, drainage and climatic changes, but are also directly impacted e.g. through peat harvesting. As a result, the dynamics of these peatlands, and their role in long-term carbon storage, has changed. In contrast to many other regions around the globe, temperate Europe has known a long history of human impact. In the northwest European lowlands, peat growth occurs mostly in floodplains under the form of alluvial peatlands. In central Belgian river valleys, alluvial peatlands developed since the Early Holocene, with a typical peat thickness between 1.5 and 2.5 metres, but reaching values of more than 6 metres at some locations.</p><p>Alluvial peatlands therefore are an important store of soil organic carbon reaching values of up to 2754 t ha<sup>-1</sup>, thus providing an important ecosystem service. However, the fate of this carbon reservoir is challenged through many different types of human actions since at least the Middle Ages including peat cutting for fuel, drainage for land reclamation and changes in catchment hydrology through land use change. For instance, a comparison of field-based peatland carbon budgets for different river valleys indicates that floodplains where cutting of topsoil peat has been important in the Late Holocene, store significantly less carbon (729 ± 397 t ha<sup>-1</sup>) than floodplains where Early to Mid-Holocene peat has been buried by mineral sediments originating from agricultural erosion on hillslopes (1991 ± 877 t ha<sup>-1</sup>). Adequate modelling can provide a powerful tool to study peatland dynamics and the interaction between internal and external processes in peatlands, but unfortunately, there are currently no available modelling tools to study the long-term dynamics of alluvial peatlands.</p><p>A long-term peatland model (Digibog) was adapted to be applicable to the context of alluvial peatlands. Changes were made to both the hydrological and biological modules to include variations in the river water level, flooding, anthropogenic peat cutting and a wide variety of vegetation types, ranging from open meadows to carr forests. In a first step, the Holocene evolution of an alluvial peatland was simulated under the conditions which were typical for lowland Belgium to provide a Holocene peat sequence with an annual resolution. In a second step, this peatland was subjected to a wide set of alternative management scenarios that have been in place since the Middle Ages. The simulations allow to estimate the effect of these scenarios on the peatland dynamics in terms of peatland hydrology, productivity and carbon storage. Based on this modelling study, the sensitivity of these systems to human activities can be quantified. The resultant magnitudes and rates of change under different scenarios can provide useful information for future management of alluvial peatlands and a better understanding of long-term peatland dynamics in general.</p>

Author(s):  
Trina Stephens

Land‐use change can have a major impact on soil properties, leading to long‐term changes in soilnutrient cycling rates and carbon storage. While a substantial amount of research has been conducted onland‐use change in tropical regions, empirical evidence of long‐term conversion of forested land toagricultural land in North America is lacking. Pervasive deforestation for the sake of agriculturethroughout much of North America is likely to have modified soil properties, with implications for theglobal climate. Here, we examined the response of physical, chemical and biological soil properties toconversion of forest to agricultural land (100 years ago) on Roebuck Farm near Perth, Ontario, Canada.Soil samples were collected at three sites from under forest and agricultural vegetative cover on bothhigh‐ and low‐lying topographic positions (12 locations in total; soil profile sampled to a depth of 40cm).Our results revealed that bulk density, pH, and nitrate concentrations were all higher in soils collectedfrom cultivate sites. In contrast, samples from forested sites exhibited greater water‐holding capacity,porosity, organic matter content, ammonia concentrations and cation exchange capacity. Many of these characteristics are linked to greater organic matter abundance and diversity in soils under forestvegetation as compared with agricultural soils. Microbial activity and Q10 values were also higher in theforest soils. While soil properties in the forest were fairly similar across topographic gradients, low‐lyingpositions under agricultural regions had higher bulk density and organic matter content than upslopepositions, suggesting significant movement of material along topographic gradients. Differences in soilproperties are attributed largely to increased compaction and loss of organic matter inputs in theagricultural system. Our results suggest that the conversion of forested land cover to agriculture landcover reduces soil quality and carbon storage, alters long‐term site productivity, and contributes toincreased atmospheric carbon dioxide concentrations.


1997 ◽  
Vol 11 (1) ◽  
pp. 29-42 ◽  
Author(s):  
A. R. Mosier ◽  
W. J. Parton ◽  
D. W. Valentine ◽  
D. S. Ojima ◽  
D. S. Schimel ◽  
...  

2018 ◽  
Vol 19 (3) ◽  
pp. 1109-1119 ◽  
Author(s):  
Xiaolei Sun ◽  
Meng Li ◽  
Guoxi Wang ◽  
Marios Drosos ◽  
Fulai Liu ◽  
...  

2013 ◽  
Vol 10 (2) ◽  
pp. 1193-1207 ◽  
Author(s):  
S.-W. Duan ◽  
S. S. Kaushal

Abstract. Rising water temperatures due to climate and land use change can accelerate biogeochemical fluxes from sediments to streams. We investigated impacts of increased streamwater temperatures on sediment fluxes of dissolved organic carbon (DOC), nitrate, soluble reactive phosphorus (SRP) and sulfate. Experiments were conducted at 8 long-term monitoring sites across land use (forest, agricultural, suburban, and urban) at the Baltimore Ecosystem Study Long-Term Ecological Research (LTER) site in the Chesapeake Bay watershed. Over 20 yr of routine water temperature data showed substantial variation across seasons and years. Lab incubations of sediment and overlying water were conducted at 4 temperatures (4 °C, 15 °C, 25 °C, and 35 °C) for 48 h. Results indicated: (1) warming significantly increased sediment DOC fluxes to overlying water across land use but decreased DOC quality via increases in the humic-like to protein-like fractions, (2) warming consistently increased SRP fluxes from sediments to overlying water across land use, (3) warming increased sulfate fluxes from sediments to overlying water at rural/suburban sites but decreased sulfate fluxes at some urban sites likely due to sulfate reduction, and (4) nitrate fluxes showed an increasing trend with temperature at some forest and urban sites but with larger variability than SRP. Sediment fluxes of nitrate, SRP and sulfate were strongly related to watershed urbanization and organic matter content. Using relationships of sediment fluxes with temperature, we estimate a 5 °C warming would increase mean sediment fluxes of SRP, DOC and nitrate-N across streams by 0.27–1.37 g m−2 yr−1, 0.03–0.14 kg m−2 yr−1, and 0.001–0.06 kg m−2 yr−1. Understanding warming impacts on coupled biogeochemical cycles in streams (e.g., organic matter mineralization, P sorption, nitrification, denitrification, and sulfate reduction) is critical for forecasting shifts in carbon and nutrient loads in response to interactive impacts of climate and land use change.


2017 ◽  
Vol 93 (10) ◽  
Author(s):  
Dennis Goss-Souza ◽  
Lucas William Mendes ◽  
Clovis Daniel Borges ◽  
Dilmar Baretta ◽  
Siu Mui Tsai ◽  
...  

Author(s):  
David A. Prieto-Torres ◽  
Laura E. Nuñez Rosas ◽  
Daniela Remolina Figueroa ◽  
María del Coro Arizmendi

2021 ◽  
Author(s):  
Peter Hoffmann ◽  
Diana Rechid ◽  
Vanessa Reinhart ◽  
Christina Asmus ◽  
Edouard L. Davin ◽  
...  

<p>Land-use and land cover (LULC) are continuously changing due to environmental changes and anthropogenic activities. Many observational and modeling studies show that LULC changes are important drivers altering land surface feedbacks and land-atmosphere exchange processes that have substantial impact on climate on the regional and local scale. Yet, most long-term regional climate modeling studies do not account for these changes. Therefore, within the WCRP CORDEX Flagship Pilot Study LUCAS (Land Use Change Across Scales) a new workflow was developed to generate high-resolution annual land cover change time series based on past reconstructions and future projections. First, the high-resolution global land cover dataset ESA-CCI LC (~300 m resolution) is aggregated and converted to a 0.1° resolution, fractional plant functional type (PFT) dataset. Second, the land use change information from the land-use harmonized dataset (LUH2), provided at 0.25° resolution as input for CMIP6 experiments, is translated into PFT changes employing a newly developed land use translator (LUT). The new LUT was first applied to the EURO-CORDEX domain. The resulting LULC maps for past and future - the LUCAS LUC dataset - can be applied as land use forcing to the next generation RCM simulations for downscaling CMIP6 by the EURO-CORDEX community and in the framework of FPS LUCAS. The dataset includes land cover and land management practices changes important for the regional and local scale such as urbanization and irrigation. The LUCAS LUC workflow is applied to further CORDEX domains, such as Australasia and North America. The resulting past and future land cover changes will be presented, and challenges regarding the application of the new workflow to different regions will be addressed. In addition, issues related to the implementation of the dataset into different RCMs will be discussed.</p>


2003 ◽  
Vol 32 (1) ◽  
pp. 83-102 ◽  
Author(s):  
Elena G. Irwin ◽  
Kathleen P. Bell ◽  
Jacqueline Geoghegan

As many local and state governments in the United States grapple with increasing growth pressures, the need to understand the economic and institutional factors underlying these pressures has taken on added urgency. From an economic perspective, individual land use decisions play a central role in the manifestation of growth pressures, as changes in land use pattern are the cumulative result of numerous individual decisions regarding the use of lands. In this study, the issue of growth management is addressed by developing a spatially disaggregated, microeconomic model of land conversion decisions suitable for describing residential land use change at the rural-urban fringe. The model employs parcel-level data on land use in Calvert County, Maryland, a rapidly growing rural-urban fringe county. A probabilistic model of residential land use change is estimated using a duration model, and the parameter estimates are employed to simulate possible future growth scenarios under alternative growth management scenarios. Results suggest that “smart growth” objectives are best met when policies aimed at concentrating growth in target areas are implemented in tandem with policies designed to preserve rural or open space lands.


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